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				<publisherName>ZIBELINE INTERNATIONAL PUBLISHING</publisherName>
				<publisherLoc>Malaysia,China,Pakistan,UAE</publisherLoc>
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			<doi origin="razipublishing" registered="yes"></doi>
			<issn type="online">2521-0491</issn>
			<issn type="print">2521-0890</issn>
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				<title type="subject" xml:lang="en" sort="Geological Behavior">Geological Behavior</title>
				<title type="title">THE STATIC STRESS-STRAIN RATIO MODELLING FROM WELL DATA SATISFYING THE A3-FIELD WELL BORE STABILITY IN THE NIGER DELTA BASIN</title>
			</titleGroup>
			
			<copyright ownership="publisher">Copyright © 2017 Zibeline International Publishing</copyright>
			<doi origin="ZIBELINE INTERNATIONAL PUBLISHING" registered="yes">http://doi.org/10.26480/gbr.02.2024.99.105</doi>
			
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				<event type="publication_date" date="16-07-2024"/>
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				<creator xml:id="ajg" creatorRole="editor">
					<personName>
						<editorNames>Atat, J.G</editorNames>
					</personName>
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				<creator xml:id="ueb" creatorRole="editor">
					<personName>
						<editorNames>Umoren, E.B.</editorNames>
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				<creator xml:id="aao" creatorRole="editor">
					<personName>
						<editorNames>Akankpo, A.O.</editorNames>
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				<creator xml:id="aio" creatorRole="editor">
					<personName>
						<editorNames>Akpabio, I.O.</editorNames>
					</personName>
				</creator>
				<creator xml:id="iji" creatorRole="editor">
					<personName>
						<editorNames>Isaiah, J.I.</editorNames>
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		<citation_keywords>
		    <keyword>Model, Young’s modulus, Well data, Local fit, Velocity, Sonic.</keyword>
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		     <pdf_url>https://zibelinepub.com/archives/2gbr2024/2gbr2024-99-105.pdf</pdf_url>
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	   <citation_volume>
	       <volume>7</volume>
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	   <citation_issue>
	        <issue>2</issue>
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	   <citation_pages>
	      <pages>99-105</pages>
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	       <fulltext_html>https://geologicalbehavior.com/02-2024-99-105/</fulltext_html>
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			<abstract type="main" xml:lang="en">
			<title type="main">Summary</title>
			
					<p>The modulus of elasticity is one of the major parameters satisfying well bore stability and it has been
modelled to account for this purpose in the A3-Field of the Niger Delta Basin. Three different suites of logs
(Q, R and S) were available for this research. Microsoft Excel was used for the data processing and
computation of results after due process had been taken to free the data from noise. The results obtained
from the three separate data yield log 𝐸𝑠 = 2.4292 log 𝐸 from well Q, log 𝐸𝑠 = 2.4314 log 𝐸 from well R and
log 𝐸𝑠 = 2.4339 log 𝐸 from well S. The parameter P, chosen as the local fit constant, shows almost sameness
and as such averaged as 2.4315. If the dynamic young’s modulus is known, then log 𝐸𝑠 = 2.4315 log 𝐸 is
adequate for computation of static young’s modulus. This result had been tested with the model from
Bradford approach although very slight deviation is noted. Bradford case study excluded Niger Delta Basin
which could be the reason for this. The coefficients of determination of the three relations strongly
established the advantage of P value obtained from this finding. The differences in the coefficients of
determination show that this research finding improves the outcome when compared to Bradford constant
by 0.0169 for well Q, 0.0031 for well R, 0.0241 for well S, in the Niger Delta basin. These differences are
appreciable results needed for accurate prediction of brittleness and stability parameter and development of
the oil wells.</p>
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